Kai Gu
Impact in
Papers in
- Co-authors
- Wei Zheng (40 shared papers)Wei Lu (29 shared papers)Xiao Ou Shu (22 shared papers)Ying Feng Zheng (19 shared papers)Ying Zheng (20 shared papers)Xiao‐Ou Shu (23 shared papers)Qiuyin Cai (14 shared papers)Hui Cai (19 shared papers)
- Journals
- Breast Cancer Research and Treatment (11 papers)Cancer Epidemiology Biomarkers & Prevention (5 papers)Cancer Causes & Control (4 papers)American Journal of Epidemiology (4 papers)Frontiers in Oncology (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Kai Gu
74 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 109
- Oncology 1.3k
- Genetics 943
- Cancer Research 362
- Complementary and alternative medicine 158
- Pathology and Forensic Medicine 184
Countries citing papers authored by Kai Gu
This map shows the geographic impact of Kai Gu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kai Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Gu more than expected).
Fields of papers citing papers by Kai Gu
This network shows the impact of papers produced by Kai Gu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kai Gu. The network helps show where Kai Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 467 | |
| 2 | 2010 | 155 | |
| 3 | 2010 | 143 | |
| 4 | 2012 | 131 | |
| 5 | 2008 | 128 | |
| 6 | 2011 | 124 | |
| 7 | 2010 | 113 | |
| 8 | 2011 | 110 | |
| 9 | 2008 | 98 | |
| 10 | 2011 | 97 | |
| 11 | 2010 | 89 | |
| 12 | 2010 | 89 | |
| 13 | 2009 | 83 | |
| 14 | 2011 | 82 | |
| 15 | 2011 | 77 | |
| 16 | 2008 | 69 | |
| 17 | 2016 | 65 | |
| 18 | 2009 | 63 | |
| 19 | 2010 | 60 | |
| 20 | 2007 | 59 |
About Kai Gu
Kai Gu is a scholar working on Oncology, Genetics, Cancer Research, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health, having authored 79 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cancer Risks and Factors (16 papers), Cancer survivorship and care (15 papers), Genetic Associations and Epidemiology (11 papers), Colorectal Cancer Screening and Detection (11 papers), Global Cancer Incidence and Screening (9 papers), BRCA gene mutations in cancer (6 papers), Nutritional Studies and Diet (5 papers) and Breast Cancer Treatment Studies (5 papers). The work is most often cited by research in Oncology (1.3k citations), Genetics (943 citations), Cancer Research (362 citations), Complementary and alternative medicine (158 citations) and Pathology and Forensic Medicine (184 citations). Kai Gu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wei Zheng, Wei Lu, Xiao Ou Shu, Ying Feng Zheng, Ying Zheng, Xiao‐Ou Shu, Qiuyin Cai, Hui Cai, Ping‐Ping Bao and Jirong Long. Their work appears in journals such as Breast Cancer Research and Treatment, Cancer Epidemiology Biomarkers & Prevention, Cancer Causes & Control, American Journal of Epidemiology and Frontiers in Oncology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.